Parameters Optimization of Selected Advanced Manufacturing Processes

In any manufacturing process, selecting the optimum process parameters for advanced manufacturing processes is essential to reduce machining costs and increase productivity. Optimization methods like the genetic algorithm (GA), particle swarm optimization (PSO), and others have recently substantially aided the challenges of advanced manufacturing processes. However, when the population size increases, these metaheuristic algorithms take excessive time to converge. To address this, newly developed Rao algorithms will be used to provide the best results of the process parameters for several advanced manufacturing processes, namely focused ion beam micro-milling (FIBM), fused deposition modelling (FDM), and wire electric discharge machining (WEDM). Rao algorithms are used to calculate output parameters in both single-objective and multi-objective priori approaches, and they have demonstrated improved performance.